Current instructor
Original student reviews · all captured dates
If you are a CS student and you want a job in software, pay very close attention in CS 544. What he will teach you about linux, docker, databases and distributed processing is pure gold. Seriously, when you start your first job, you will be unbelievably happy to know the basics of these things, that other CS classes do not teach you. Pay attention!Rate My Professors ↗
He's a good guy who cares about his students learning. Grew a lot in this class. Easy A if you study. Lots of work.Rate My Professors ↗
He's a pretty reasonable professor and gave extra credit for the projects. The only downside was how messy the projects were, but he would make sure to give students extra time to submit.Rate My Professors ↗
Lots of people hate because they thought it'd be an easy A like in prev semesters. Hard to get an A but def not hard to get at least a B esp w extra credit. Very clear (but boring) lectures, explains complex content simply. Projects are eh. Cumulative exams suck, especially fill-the-blank q's. Clearly cares abt the class but def needs some changesRate My Professors ↗
He actually cares if you go meet him out of class.Rate My Professors ↗
This class is quite mixed. There is a lot of content, with theory and esoteric questions being prioritized in exams over coding. He is obviously a great coder. I found his theory slides to be good, but his demos to be bad. Almost feel like this should be a 4 credit class with discussion to go over code/theory due to pace of class. Projects = mess.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Introduction to big data systems focusing on deploying distributed storage and analyzing large datasets using Python.
Offering recorded · Fall 2026
Tyler Caraza-Harter is praised as organized and supportive, with clear lectures and abundant materials. Reviewers value his Big Data knowledge and industry focus.
historical GPA · grades
Fall 2023–Spring 2026COMPSCI 699 offers directed study projects for junior and senior students arranged with a faculty member.
Offering recorded · Fall 2026
Recent recorded grades — Spring 2022: 3.29 GPA, 57.1% A/AB (n=7 letter grades).
historical GPA · grades
Spring 2022–Spring 2026| Term | Course | Title |
|---|---|---|
| Fall 2026 | COMPSCI 544 | Introduction to Big Data Systems |
| Fall 2026 | COMPSCI 699 | Directed Study |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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